• You want to join an early stage company: We're young, but we've found strong demand for our products and are growing quickly. We've landed numerous top audit and advisory firms as customers, displaced entrenched legacy technology, and have high demand for product access
• You believe that great design and UX are requirements: We bring a user-centered approach to problem solving, focusing deeply on our customers. We're competing with legacy software that was built in the 1990's. These products have extremely low user satisfaction, but are worth billions of dollars just because they're entrenched with so many firms
• You're obsessed with data: We have a rich dataset that is ripe for automation and AI. With our data advantage, we can provide our users with intelligent automation, predictions of common workflow patterns, and analytics that will fundamentally change the structure of audits
• You greatly value culture: Our goals are lofty, we work very hard, and we want to transform an industry. More importantly, we also work responsibly. We place a premium on building a sustainable, inclusive, high EQ, high feedback, and safe company that celebrates individuals of all backgrounds
• 5+ years of engineering experience
• Excitement for product-focused application of ML/AI - this will be a production-focused role
• Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
• Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
• Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
• Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
• Experience in developing, testing, evaluating and deploying ML models
• Collaborating on all aspects of product strategy and UX
• Experience shaping an early stage tech stack and product, and engineering organization
• Experience with DevOps and continuous integration/delivery best practices

Desirable

• Be an essential technical contributor at a seed-stage company as it scales
• Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches
• Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time
• Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor